Machine Learning for WooCommerce Recommendations

Recommendations
trained on your store.

Turn browsers into buyers with a recommendation engine trained on your store's own data.

Lightweight aggregated shopping signals are securely sent to our training platform. A machine learning model built specifically for your store continuously generates intelligent recommendations through our API.

Your Store
Clicks • Carts • Orders
Aggregated Signals
Get Recommendor AI
Model Training & Engine
Recommendation APIProduct IDs & Scores
Your Store
Displays Recommendations

Your Store Already Has the Data

Every click, cart addition, and purchase contains valuable buying patterns.

Get Recommendor securely sends lightweight, aggregated shopping signals—not raw customer records—to our AI platform, where a machine learning model is trained specifically for your catalog and customer behavior.

When shoppers browse your store, the plugin requests recommendations from our API, which returns the most relevant products in milliseconds.

Signals
Aggregated
AI Model
Custom-trained
Delivery
Fast API
Four algorithms

Four ways to sell smarter

Purpose-built recommendation surfaces for every stage of the buying journey.

Machine Learning

Similar Products

Our AI model continuously analyzes your catalog and returns the most relevant similar products through the Get Recommendor API whenever recommendations are requested.

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Pattern Detection

Frequently Bought Together

Amazon-style bundling, powered by pattern detection across your real order history. Identifies which products customers actually buy together and builds one-click bundles that lift your average order value.

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Affinity Engine

Customers Also Bought

Every customer has a purchase fingerprint. Our affinity engine studies lifetime buying patterns — not just a single order — to recommend what a shopper is likely to want next. Deployed in the cart and confirmation emails.

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Rolling Window

Trending Products

Real-time signal detection on what's hot right now. Ranks your best-sellers over a rolling window so your storefront always reflects genuine current demand. Drop it anywhere with a single shortcode.

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Why store owners choose Get Recommendor

Compared to typical cloud AI plugins.

Customer data
Aggregated shopping signals used for model training
Often transmit complete customer and order records
AI model
Custom-trained for each store
Usually shared across many stores
Recommendation delivery
Fast API responses optimized for WooCommerce
Varies by provider
Setup
Native WordPress plugin
External platform required
Performance
Cached responses reduce API requests
Often live API lookup for every request
Privacy
Only required training signals are transmitted
Depends on vendor implementation

Built for Performance

Smart recommendations are only useful if they're fast.

Get Recommendor combines background processing, intelligent caching, and optimized API responses to deliver recommendations with minimal impact on your storefront.

Built-in safeguards automatically filter out abnormal B2B bulk-buyers so your affinity engine reflects genuine consumer behavior.
Similar Products
Recommendations are generated by our AI platform and cached locally for up to 24 hours. Product updates automatically invalidate the cache.
24h cache
Frequently Bought Together
Association rules are recalculated in the background, allowing fresh recommendations to be served quickly through the API.
Background sync
Customers Also Bought
Customer affinity models are updated periodically as new purchase data arrives, with recommendations returned instantly through optimized API requests.
API optimized
Trending Products
Trending rankings refresh hourly using recent sales activity, ensuring customers always see what's currently popular.
Hourly refresh

Set it and forget it.

Configure everything from a native dashboard under WooCommerce → Settings → Recommendations.

  • Display titles, limits, and lookback windows
  • Bundle thresholds and maximum bundle size
  • Widgets on cart pages and confirmation emails
  • Sensitivity to filter out outlier buying behavior

No coding required to get started — full template overrides available for developers who want pixel-perfect control.

/wp-admin → Recommendations
Similar products limit8
Trending lookback window7 days
Bundle threshold3 co-purchases
Show in confirmation emailEnabled
B2B outlier filterAuto
Nightly cron · last run 2h ago
Live in production

Trusted by stores that measure everything.

Merchants using Get Recommendor on real catalogs — from outdoor gear to handmade ceramics — share what changed after switching on the model.

We swapped WooCommerce's built-in related products for Get Recommendor and average order value climbed inside the first week. It just surfaces the right alternatives.
Marta Ellis
Head of Ecommerce · Northlane Outdoors
+23%
AOV lift
The model retrains on our own data every night. No SaaS subscription, no data leaving our stack, and the bundle recommendations actually reflect how our customers shop.
Devon Park
Founder · Kitwerks Supply
3.1x
Recommendation CTR
Setup took an afternoon. It runs on our existing server, respects our brand and price tiers, and support answers like engineers — not a chatbot.
Priya Raman
CTO · Lumen Ceramics
<40ms
Widget render

Drop recommendations anywhere.

One shortcode. Instant intelligence, anywhere on your site.

page.php
[reco type="trending" limit="4"]
[reco type="similar" limit="8" product_id="123"]
[reco type="bought_together" product_id="456"]
[reco type="also_bought" user_id="current"]

Train Smarter.
Sell Smarter.

Get Recommendor securely learns from your store's shopping behavior to deliver intelligent recommendations powered by machine learning.

Your data helps train a model built specifically for your catalog, while our optimized API delivers fast, relevant recommendations to your customers.

Smarter recommendations. Better conversions. Powered by AI.